针对传统时频峰值滤波(TFPF:Time-Frequency Peak Filtering)未考虑地震信号记录道与道之间的相关性以及径向道TFPF未考虑实际同相轴走向的问题,在假设反射同相轴局部线性的基础上,提出自适应径向道时频峰值滤波算法。该算法利用自适应...针对传统时频峰值滤波(TFPF:Time-Frequency Peak Filtering)未考虑地震信号记录道与道之间的相关性以及径向道TFPF未考虑实际同相轴走向的问题,在假设反射同相轴局部线性的基础上,提出自适应径向道时频峰值滤波算法。该算法利用自适应函数获取局部区域内同相轴的走向,通过径向道变换(RTT:Radial-Trace Transform)将同相轴拉伸到径向道域,提高其线性度,更好地满足TFPF无偏估计的条件,减小因信号非线性引起的估计误差。实验结果表明,该方法在随机噪声压制和有效信号恢复方面都取得了更好的效果。相同窗长下,该算法相比传统TFPF信噪比提高了5 d B左右,相比径向道TFPF信噪比提高了3 d B左右。展开更多
The article is research on the traffic situations of freeways. Different rules make different traffic situations. It is meaningful to research on traffic situations under different conditions. The author analyzes fac...The article is research on the traffic situations of freeways. Different rules make different traffic situations. It is meaningful to research on traffic situations under different conditions. The author analyzes factors like traffic flow and safety, peflbrmance respectively, and proposes the theor3, basis for making more reasonable rules. The author first establishes evaluation system of traffic safety. Then, we compare the freeway network to power network to find a solution. and establish a traffic flow model based on power flow （TFPF）. It calculates power flow. So it applies the formula mode back to the traffic network, chalking up the perforumnce of the traffic condition. We utilize cellular automata （CA） method to simulate traffic circulation, and verify the accuracy of above model with the obtained data.展开更多
文摘针对传统时频峰值滤波(TFPF:Time-Frequency Peak Filtering)未考虑地震信号记录道与道之间的相关性以及径向道TFPF未考虑实际同相轴走向的问题,在假设反射同相轴局部线性的基础上,提出自适应径向道时频峰值滤波算法。该算法利用自适应函数获取局部区域内同相轴的走向,通过径向道变换(RTT:Radial-Trace Transform)将同相轴拉伸到径向道域,提高其线性度,更好地满足TFPF无偏估计的条件,减小因信号非线性引起的估计误差。实验结果表明,该方法在随机噪声压制和有效信号恢复方面都取得了更好的效果。相同窗长下,该算法相比传统TFPF信噪比提高了5 d B左右,相比径向道TFPF信噪比提高了3 d B左右。
文摘The article is research on the traffic situations of freeways. Different rules make different traffic situations. It is meaningful to research on traffic situations under different conditions. The author analyzes factors like traffic flow and safety, peflbrmance respectively, and proposes the theor3, basis for making more reasonable rules. The author first establishes evaluation system of traffic safety. Then, we compare the freeway network to power network to find a solution. and establish a traffic flow model based on power flow （TFPF）. It calculates power flow. So it applies the formula mode back to the traffic network, chalking up the perforumnce of the traffic condition. We utilize cellular automata （CA） method to simulate traffic circulation, and verify the accuracy of above model with the obtained data.
